Eli Chien - RankMe

58 papers A* 18B 2Misc 1Journal 36Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MAPLE: Metadata Augmented Private Language Evolution. CoRR Eli Chien, Yuzheng Hu, Ryan McKenna, Shanshan Wu, Zheng Xu, Peter Kairouz
2025	A*	`conf`	Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness. ICLR Eli Chien, Pan Li
2025	J	`jnl`	Differentially Private Relational Learning with Entity-level Privacy Guarantees. CoRR Yinan Huang, Haoteng Yin, Eli Chien, Rongzhe Wei, Pan Li
2025	J	`jnl`	Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness. CoRR Rongzhe Wei, Peizhi Niu, Hans Hao-Hsun Hsu, Ruihan Wu, Haoteng Yin, Mohsen Ghassemi, Yifan Li, Vamsi K. Potluru, Eli Chien, Kamalika Chaudhuri, Olgica Milenkovic, Pan Li
2025	A*	`conf`	LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation. ICLR Mufei Li, Viraj Shitole, Eli Chien, Changhai Man, Zhaodong Wang, Srinivas, Ying Zhang, Tushar Krishna, Pan Li
2025	J	`jnl`	Privacy Amplification in Differentially Private Zeroth-Order Optimization with Hidden States. CoRR Eli Chien, Wei-Ning Chen, Pan Li
2025	J	`jnl`	The Trojan Knowledge: Bypassing Commercial LLM Guardrails via Harmless Prompt Weaving and Adaptive Tree Search. CoRR Rongzhe Wei, Peizhi Niu, Xinjie Shen, Tony Tu, Yifan Li, Ruihan Wu, Eli Chien, Pin-Yu Chen, Olgica Milenkovic, Pan Li
2025	A*	`conf`	Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning. ICML Rongzhe Wei, Mufei Li, Mohsen Ghassemi, Eleonora Kreacic, Yifan Li, Xiang Yue, Bo Li, Vamsi K. Potluru, Pan Li, Eli Chien
2024	A*	`conf`	Breaking the Trilemma of Privacy, Utility, and Efficiency via Controllable Machine Unlearning. WWW Zheyuan Liu, Guangyao Dou, Eli Chien, Chunhui Zhang, Yijun Tian, Ziwei Zhu
2024	A*	`conf`	Certified Machine Unlearning via Noisy Stochastic Gradient Descent. NeurIPS Eli Chien, Haoyu Wang, Ziang Chen, Pan Li
2024	J	`jnl`	Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness. CoRR Eli Chien, Pan Li
2024	A*	`conf`	Differentially Private Graph Diffusion with Applications in Personalized PageRanks. NeurIPS Rongzhe Wei, Eli Chien, Pan Li
2024	J	`jnl`	Differentially Private Graph Diffusion with Applications in Personalized PageRanks. CoRR Rongzhe Wei, Eli Chien, Pan Li
2024	J	`jnl`	Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls. Trans. Mach. Learn. Res. Saurav Prakash, Jin Sima, Chao Pan, Eli Chien, Olgica Milenkovic
2024	A*	`conf`	Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning. NeurIPS Eli Chien, Haoyu Wang, Ziang Chen, Pan Li
2024	J	`jnl`	Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning. CoRR Eli Chien, Haoyu Wang, Ziang Chen, Pan Li
2024	J	`jnl`	LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation. CoRR Mufei Li, Viraj Shitole, Eli Chien, Changhai Man, Zhaodong Wang, Srinivas Sridharan, Ying Zhang, Tushar Krishna, Pan Li
2024	—	`conf`	Machine Unlearning of Pre-trained Large Language Models. ACL (1) Jin Yao, Eli Chien, Minxin Du, Xinyao Niu, Tianhao Wang, Zezhou Cheng, Xiang Yue
2024	J	`jnl`	Machine Unlearning of Pre-trained Large Language Models. CoRR Jin Yao, Eli Chien, Minxin Du, Xinyao Niu, Tianhao Wang, Zezhou Cheng, Xiang Yue
2024	J	`jnl`	On the Inherent Privacy Properties of Discrete Denoising Diffusion Models. Trans. Mach. Learn. Res. Rongzhe Wei, Eleonora Kreacic, Haoyu Peter Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li
2024	J	`jnl`	Privately Learning from Graphs with Applications in Fine-tuning Large Language Models. CoRR Haoteng Yin, Rongzhe Wei, Eli Chien, Pan Li
2024	J	`jnl`	Stochastic Gradient Langevin Unlearning. CoRR Eli Chien, Haoyu Wang, Ziang Chen, Pan Li
2024	J	`jnl`	Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning. CoRR Rongzhe Wei, Mufei Li, Mohsen Ghassemi, Eleonora Kreacic, Yifan Li, Xiang Yue, Bo Li, Vamsi K. Potluru, Pan Li, Eli Chien
2023	J	`jnl`	Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning. CoRR Zheyuan Liu, Guangyao Dou, Yijun Tian, Chunhui Zhang, Eli Chien, Ziwei Zhu
2023	A*	`conf`	Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection. NeurIPS Eli Chien, Wei-Ning Chen, Chao Pan, Pan Li, Ayfer Özgür, Olgica Milenkovic
2023	J	`jnl`	Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection. CoRR Eli Chien, Wei-Ning Chen, Chao Pan, Pan Li, Ayfer Özgür, Olgica Milenkovic
2023	A*	`conf`	Efficient Model Updates for Approximate Unlearning of Graph-Structured Data. ICLR Eli Chien, Chao Pan, Olgica Milenkovic
2023	J	`jnl`	Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls. CoRR Saurav Prakash, Jin Sima, Chao Pan, Eli Chien, Olgica Milenkovic
2023	J	`jnl`	On the Inherent Privacy Properties of Discrete Denoising Diffusion Models. CoRR Rongzhe Wei, Eleonora Kreacic, Haoyu Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li
2023	A*	`conf`	PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation. ICML Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu
2023	J	`jnl`	PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation. CoRR Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu
2023	J	`jnl`	Provably accurate and scalable linear classifiers in hyperbolic spaces. Knowl. Inf. Syst. Chao Pan, Eli Chien, Puoya Tabaghi, Jianhao Peng, Olgica Milenkovic
2023	A*	`conf`	Representer Point Selection for Explaining Regularized High-dimensional Models. ICML Che-Ping Tsai, Jiong Zhang, Hsiang-Fu Yu, Eli Chien, Cho-Jui Hsieh, Pradeep Kumar Ravikumar
2023	J	`jnl`	Representer Point Selection for Explaining Regularized High-dimensional Models. CoRR Che-Ping Tsai, Jiong Zhang, Eli Chien, Hsiang-Fu Yu, Cho-Jui Hsieh, Pradeep Ravikumar
2023	J	`jnl`	Small-Sample Estimation of the Mutational Support and Distribution of SARS-CoV-2. IEEE ACM Trans. Comput. Biol. Bioinform. Vishal Rana, Eli Chien, Jianhao Peng, Olgica Milenkovic
2023	A*	`conf`	Unlearning Graph Classifiers with Limited Data Resources. WWW Chao Pan, Eli Chien, Olgica Milenkovic
2022	J	`jnl`	Certified Graph Unlearning. CoRR Eli Chien, Chao Pan, Olgica Milenkovic
2022	A*	`conf`	HyperAid: Denoising in Hyperbolic Spaces for Tree-fitting and Hierarchical Clustering. KDD Eli Chien, Puoya Tabaghi, Olgica Milenkovic
2022	J	`jnl`	HyperAid: Denoising in hyperbolic spaces for tree-fitting and hierarchical clustering. CoRR Eli Chien, Puoya Tabaghi, Olgica Milenkovic
2022	A*	`conf`	Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction. ICLR Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Jiong Zhang, Olgica Milenkovic, Inderjit S. Dhillon
2022	J	`jnl`	Provably Accurate and Scalable Linear Classifiers in Hyperbolic Spaces. CoRR Chao Pan, Eli Chien, Puoya Tabaghi, Jianhao Peng, Olgica Milenkovic
2022	J	`jnl`	Unlearning Nonlinear Graph Classifiers in the Limited Training Data Regime. CoRR Chao Pan, Eli Chien, Olgica Milenkovic
2022	A*	`conf`	You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks. ICLR Eli Chien, Chao Pan, Jianhao Peng, Olgica Milenkovic
2021	A*	`conf`	Adaptive Universal Generalized PageRank Graph Neural Network. ICLR Eli Chien, Jianhao Peng, Pan Li, Olgica Milenkovic
2021	J	`jnl`	Highly Scalable and Provably Accurate Classification in Poincare Balls. CoRR Eli Chien, Chao Pan, Puoya Tabaghi, Olgica Milenkovic
2021	A*	`conf`	Highly Scalable and Provably Accurate Classification in Poincaré Balls. ICDM Eli Chien, Chao Pan, Puoya Tabaghi, Olgica Milenkovic
2021	B	`conf`	Landing Probabilities of Random Walks for Seed-Set Expansion in Hypergraphs. ITW Eli Chien, Pan Li, Olgica Milenkovic
2021	J	`jnl`	Linear Classifiers in Mixed Constant Curvature Spaces. CoRR Puoya Tabaghi, Eli Chien, Chao Pan, Olgica Milenkovic
2021	J	`jnl`	Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction. CoRR Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Jiong Zhang, Olgica Milenkovic, Inderjit S. Dhillon
2021	B	`conf`	Support Estimation with Sampling Artifacts and Errors. ISIT Eli Chien, Olgica Milenkovic, Angelia Nedich
2021	J	`jnl`	You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks. CoRR Eli Chien, Chao Pan, Jianhao Peng, Olgica Milenkovic
2020	A*	`conf`	Active Learning in the Geometric Block Model. AAAI Eli Chien, Antonia M. Tulino, Jaime Llorca
2020	J	`jnl`	Joint Adaptive Feature Smoothing and Topology Extraction via Generalized PageRank GNNs. CoRR Eli Chien, Jianhao Peng, Pan Li, Olgica Milenkovic
2020	Misc	`conf`	Multi-MotifGAN (MMGAN): Motif-Targeted Graph Generation And Prediction. ICASSP Anuththari Gamage, Eli Chien, Jianhao Peng, Olgica Milenkovic
2020	J	`jnl`	Support Estimation with Sampling Artifacts and Errors. CoRR Eli Chien, Olgica Milenkovic, Angelia Nedich
2019	J	`jnl`	Active learning in the geometric block model. CoRR Eli Chien, Antonia Maria Tulino, Jaime Llorca
2019	J	`jnl`	Landing Probabilities of Random Walks for Seed-Set Expansion in Hypergraphs. CoRR Eli Chien, Pan Li, Olgica Milenkovic
2019	J	`jnl`	Multi-MotifGAN (MMGAN): Motif-targeted Graph Generation and Prediction. CoRR Anuththari Gamage, Eli Chien, Jianhao Peng, Olgica Milenkovic